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      Archaeological expansions in tropical South America during the late Holocene: Assessing the role of demic diffusion

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          Abstract

          Human expansions motivated by the spread of farming are one of the most important processes that shaped cultural geographies during the Holocene. The best known example of this phenomenon is the Neolithic expansion in Europe, but parallels in other parts of the globe have recently come into focus. Here, we examine the expansion of four archaeological cultures of widespread distribution in lowland South America, most of which originated in or around the Amazon basin and spread during the late Holocene with the practice of tropical forest agriculture. We analyze spatial gradients in radiocarbon dates of each culture through space-time regressions, allowing us to establish the most likely geographical origin, time and speed of expansion. To further assess the feasibility of demic diffusion as the process behind the archaeological expansions in question, we employ agent-based simulations with demographic parameters derived from the ethnography of tropical forest farmers. We find that, while some expansions can be realistically modeled as demographic processes, others are not easily explainable in the same manner, which is possibly due to different processes driving their dispersal (e.g. cultural diffusion) or problematic/incomplete archaeological data.

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          Maximum entropy modeling of species geographic distributions

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            A statistical explanation of MaxEnt for ecologists

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              • Record: found
              • Abstract: not found
              • Article: not found

              Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: ValidationRole: VisualizationRole: Writing – original draft
                Role: Formal analysisRole: MethodologyRole: ValidationRole: Writing – original draft
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: SupervisionRole: Writing – original draft
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                27 April 2020
                2020
                : 15
                : 4
                : e0232367
                Affiliations
                [1 ] Department of Humanities, Culture and Socio-Ecological Dynamics group (CaSEs), Universitat Pompeu Fabra, Barcelona, Spain
                [2 ] Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
                [3 ] School of Geography, Archaeology and Environmental Studies, The University of the Witwatersrand, Johannesburg, South Africa
                University at Buffalo - The State University of New York, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0001-6032-4443
                http://orcid.org/0000-0003-2578-1993
                Article
                PONE-D-19-34282
                10.1371/journal.pone.0232367
                7185720
                32339209
                1e37f7ee-1c53-4875-986e-c221c4a1026f
                © 2020 Gregorio de Souza et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 11 December 2019
                : 13 April 2020
                Page count
                Figures: 6, Tables: 4, Pages: 32
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100010663, H2020 European Research Council;
                Award ID: 840163
                Award Recipient :
                JGS has been funded by a MSCA individual fellowship (Grant 840163, EU Horizon 2020). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Social Sciences
                Archaeology
                Archaeological Dating
                Social Sciences
                Archaeology
                Social Sciences
                Archaeology
                Archaeological Dating
                Radioactive Carbon Dating
                Research and Analysis Methods
                Chemical Characterization
                Isotope Analysis
                Radioactive Carbon Dating
                Social Sciences
                Sociology
                Culture
                People and places
                Geographical locations
                South America
                Physical Sciences
                Mathematics
                Applied Mathematics
                Algorithms
                Genetic Algorithms
                Research and Analysis Methods
                Simulation and Modeling
                Algorithms
                Genetic Algorithms
                Physical Sciences
                Materials Science
                Materials
                Ceramics
                Research and Analysis Methods
                Simulation and Modeling
                Custom metadata
                All relevant data are within the manuscript and its Supporting Information files.

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                Uncategorized

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